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<a href="_kernel_selection_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="preprocessor">#include &lt;<a class="code" href="_data_distribution_8h.html">shark/Data/DataDistribution.h</a>&gt;</span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="preprocessor">#include &lt;<a class="code" href="_gaussian_rbf_kernel_8h.html">shark/Models/Kernels/GaussianRbfKernel.h</a>&gt;</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="preprocessor">#include &lt;<a class="code" href="_radius_margin_quotient_8h.html">shark/ObjectiveFunctions/RadiusMarginQuotient.h</a>&gt;</span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="preprocessor">#include &lt;<a class="code" href="_rprop_8h.html">shark/Algorithms/GradientDescent/Rprop.h</a>&gt;</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span> </div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span> </div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="keyword">using namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a>;</div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span> </div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span> </div>
<div class="foldopen" id="foldopen00010" data-start="{" data-end="}">
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno"><a class="line" href="_kernel_selection_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627">   10</a></span><span class="keywordtype">int</span> <a class="code hl_function" href="_datasets_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span>** argv)</div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span>{</div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span>    <span class="comment">// generate dataset</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span>    <a class="code hl_class" href="classshark_1_1_chessboard.html" title="&quot;chess board&quot; problem for binary classification">Chessboard</a> problem;</div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span>    <a class="code hl_class" href="classshark_1_1_labeled_data.html">ClassificationDataset</a> data = problem.<a class="code hl_function" href="classshark_1_1_labeled_data_distribution.html#ace15c1b51c87cd4b553427a55416b155" title="Generates a dataset with samples from from the distribution.">generateDataset</a>(100);</div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span> </div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span>    <span class="comment">// brute force search in [1.0, 10000.0] on log scale</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span>    <a class="code hl_class" href="classshark_1_1_gaussian_rbf_kernel.html" title="Gaussian radial basis function kernel.">GaussianRbfKernel&lt;&gt;</a> kernel;</div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span>    <a class="code hl_class" href="classshark_1_1_radius_margin_quotient.html" title="radius margin quotions for binary SVMs">RadiusMarginQuotient&lt;RealVector&gt;</a> rm(data, &amp;kernel);</div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span>    RealVector param(1);</div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span>    <span class="keywordtype">double</span> best_value = 1e100;</div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span>    <span class="keywordtype">double</span> best_gamma = 0.0;</div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span>    </div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span>    std::cout&lt;&lt;<span class="stringliteral">&quot;Grid search in the range [1, 10000] on log scale:&quot;</span>&lt;&lt;std::endl;</div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span>    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> i=0; i&lt;=400; i++)</div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span>    {</div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span>        <span class="keywordtype">double</span> gamma = pow(10.0, i / 100.0);</div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span>        param(0) = gamma;</div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span>        <span class="keywordtype">double</span> f = rm.<a class="code hl_function" href="classshark_1_1_radius_margin_quotient.html#ab089f14d5575c3a831d285992f80fcb1" title="Evaluate the radius margin quotient.">eval</a>(param);</div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span>        <span class="keywordflow">if</span> (f &lt; best_value)</div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span>        {</div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span>            best_value = f;</div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span>            best_gamma = gamma;</div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span>        }</div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span>    }</div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span>    std::cout&lt;&lt;<span class="stringliteral">&quot;best gamma: &quot;</span>&lt;&lt; best_gamma&lt;&lt; <span class="stringliteral">&quot;  radius margin quotient: &quot;</span>&lt;&lt;best_value&lt;&lt;std::endl;</div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span> </div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span>    <span class="comment">// gradient-based alternative</span></div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span>    <a class="code hl_class" href="classshark_1_1_rprop.html" title="This class offers methods for the usage of the Resilient-Backpropagation-algorithm with/out weight-ba...">Rprop&lt;&gt;</a> rprop;</div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span>    rprop.<a class="code hl_function" href="classshark_1_1_rprop.html#aa5283be5eb772fcdad29af346c98b498">init</a>(rm, RealVector(1, 100.0), 1.0);</div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span>    std::cout&lt;&lt;<span class="stringliteral">&quot;\nGradient-based optimization (IRprop+, 50 steps):&quot;</span>&lt;&lt;std::endl;</div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> i=0; i&lt;50; i++) rprop.<a class="code hl_function" href="classshark_1_1_rprop.html#a9173edb5b7a84bcd46b62a46445754a6">step</a>(rm);</div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>    best_gamma = rprop.<a class="code hl_function" href="classshark_1_1_abstract_single_objective_optimizer.html#a0909596fcc4f80a8d108859b20b64a81" title="returns the current solution of the optimizer">solution</a>().<a class="code hl_variable" href="structshark_1_1_result_set.html#a5afb306cbdabb9ddb962eb22dbf79bb6">point</a>(0);</div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>    best_value = rm.<a class="code hl_function" href="classshark_1_1_radius_margin_quotient.html#ab089f14d5575c3a831d285992f80fcb1" title="Evaluate the radius margin quotient.">eval</a>(RealVector(1, best_gamma));</div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span>    std::cout&lt;&lt;<span class="stringliteral">&quot;best gamma: &quot;</span>&lt;&lt; best_gamma&lt;&lt; <span class="stringliteral">&quot;  radius margin quotient: &quot;</span>&lt;&lt;best_value&lt;&lt;std::endl;</div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span>}</div>
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